Respuesta :
Answer:
55.44 inches
Step-By-Step Explanation
part a. assuming a perfectly linear relationship, we can find the slope from the first two data points.
slope = m = (change in rainfall)/(change in years)
= (61.80 -62.33)/(2005 -2004) = -0.53/1 = -0.53
then the point-slope form of the equation of the line can be written as
y = m(x -h) +k . . . . . m = -0.53, (h, k) = (0, 62.33)
y = -0.53x +62.33 . . . x = years after 2004
part b. in 2017, x = 2017 -2004 = 13. then the predicted rainfall is
y = -0.53·13 +62.33 = 55.44 . . inches
the predicted rainfall in 2017 is 55.44 in
According to the table given, the linear model for the data is:
[tex]y = -0.53x + 62.33[/tex]
- Using the linear model, it is found that the predicted rainfall in 2017 is of 55.44 inches.
A linear function is modeled by:
[tex]y = mx + b[/tex]
In which:
- m is the slope, which is the rate of change, that is, by how much x changes when y changes by 1.
- b is the y-intercept, which is the value of y when x = 0.
From the table, we have that:
- We consider x = 0 to be the year 2004, when the average rainfall was of 62.33 inches, hence [tex]b = 62.33[/tex].
- Each year, the average decreases by 0.53 inches, hence [tex]m = -0.53[/tex].
Hence, the equation is:
[tex]y = -0.53x + 62.33[/tex]
2017 is 13 years after 2004, hence:
[tex]y(13) = -0.53(13) + 62.33 = 55.44[/tex]
The predicted rainfall in 2017 is of 55.44 inches.
You can learn more about linear functions at https://brainly.com/question/16302622